Solution Architect - Data, Ai & Analytics (M/F/D)

Solution Architect - Data, Ai & Analytics (M/F/D)
Lisboa
Lisboa, Lisboa, Portugal

Your new company

Havi, a global leader since 1974, employs over 10, 000 people and serves customers in more than 100 countries. Specializing in the food service industry, Havi provides innovative supply chain and logistics solutions, including analytics, planning, distribution, and freight management.

Havi Supply Chain Tech Hub’s diverse teams collaborate seamlessly across locations and functions, embodying a spirit of integrity and creativity to serve their customers in the best way possible.

Your new role

As an AI Solution Architect within the Intelligent Automation Co
E, you will provide
-
- end solution designs that combine Intelligent Automation (RPA, workflow, agentic applications), Data & Analytics (domain data products, semantic layers, metrics, BI), and AI enablement (gateway, RAG, guardrails) to deliver measurable business outcomes. It owns
- functional requirements (NFRs),
-
- design principles, and integration patterns across various Supply Chain and GBS domains.

Operating as the technical linchpin within each domain triad — Domain Product Owner, IA Pod Lead, and Solution Architect — the role ensures that delivery teams and vendors build solutions aligned with enterprise standards, enabling consistency, scalability, and
- term value.

You will be responsible for:

Domain solution architecture

• Lead solution design for priority use cases (e. G. , Freight ETA copilot, AP/PO exception automation, Contract Q&A)
• Produce
  -
  - end views (process, data, integration, security, run)
• Define NFRs (latency, throughput, resiliency, RTO/RPO, cost targets)
• Ensure NFRs are testable and tied to KPIs

Patterns & standards

• Publish and maintain reference patterns: API façade, eventing, warehouse/semantic layer access, RAG topology, secrets/KMS, observability
• Codify data contracts and
  - evolution rules with Data Enablement & Governance
• Enforce lineage and DQ gates for Tier-1 data

Security & compliance by design

• Embed privacy/PII controls, masking/pseudonymisation, data residency, and LLM egress
  - lists
• Ensure Legal/HR use cases apply stricter controls and
  -
  -
  - loop where required

Build-time and
- time enablement

• Guide IA pods and analytics engineers through implementation
• Review PRDs/SDDs and sign off
  -
  - build readiness
• Define operability: SLOs, dashboards, alerts, runbooks, failure modes
• Participate in
  - incident reviews and cost/performance tuning

Governance & reviews

• Run or support the Design Authority cadence
• Drive architecture compliance
• Maintain the integration/catalog of services and
  - usable components
• Partner with PMO to align sequencing/dependencies
• Partner with AI Platform & Safety for evals/guardrails
• Partner with EPAM for platform readiness

Vendor management & acceptance

• Translate designs into clear acceptance criteria
• Review deliverables for compliance with patterns, security, and NFRs
• Sign off
  - live readiness

What will you need to succeed

• Academic Background in Computer Science, Information Systems, Software/Data Engineering, Data/Analytics (or related field);
  
  
• Certifications in TOGAF, Snowflake, Databricks, dbt (Fundamentals), ISO 27001, and Cloud Security (would be a pus);
  
  
• +8 years of experiencie in Solution/Enterprise/Data Architecture or Engineering roles;
  
  
• +3 years designing data/analytics or IA solutions at scale;
  
  
• Experience withdata and analytics stack (including warehouse/lakehouse, ELT/ETL, dbt, semantic layers, BI, MDM concepts, data contracts, lineage and observability);
  
  
• Proven experiencie delivering in Supply Chain, or adjacent domains (orders, shipments, lanes,
  -
  - serve and OTIF);
  
  
• Exposure to AI (such as RPA, workflow orchestration,
  - driven patterns, exception handling and runbooks);
  
  
• Integration expertise across APIs, i
  Paa
  S, eventing and streaming, with focus on performance, resilience, security, cost, and
  - trust/data-egress controls;
  
  
• Strong architectural documentation and diagramming (delivers crisp verbal briefings for executive and engineering audiences);
  
  
• Hands-on experiencie working in Cloud (Azure, AWS, GCP) and API/i
  Paa
  S platform;
  
  
• Comfortable managing vendors (SOWs, SLAs and acceptance criteria);
  
  
• Familiarity with AI enablement for consumes (including LLM gateways, RAG architectures (embeddings, vector stores, chunking, caching), evaluation and guardrails (no custom LLM training));
  
  
• Able to review code and SQL (when needed) and to lead design reviews and audits;
  
  
• Able to
  - size architecture for Lean vs Balanced delivery models;
  
  
• Pragmatic mindset, balancing speed vs control;
  
  
• Strong collaboration skills (promotes
  - team
  - solving, adapts quickly, anticipates risks, empowers teams, and builds lasting partnerships);
  
  
• Excellent communication skills – Fluency in English.

What the company can offer you

Have the opportunity to join a
- functional team in an international company with a multicultural working environment!